JSTOR Daily

JOINT CONDITIONAL LIKELIHOOD ESTIMATOR IN LOGISTIC REGRESSION WITH MISSING COVARIATE DATA

This is a preview. Log in through your library . Abstract This article considers semiparametric estimation in logistic regression with missing covariates. In a ...
JSTOR Daily

Conditional Logistic Regression Models for Correlated Binary Data

A class of conditional logistic regression models for clustered binary data is considered. This includes the polychotomous logistic model of Rosner (1984) as a special case. Properties such as the ...
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Logistic Regression Machine Learning Example ¦ Simply Explained

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
The New England Journal of Medicine

Inhibitors of the Renin–Angiotensin–Aldosterone System and Covid-19

In this rapidly evolving setting, clinicians are weighing the alleged harm of continuing these medications in patients for whom ACE inhibitors and ARBs have known benefit against the harm to their ...
Nature

Identification of multiple independent susceptibility loci in the HLA region in Behçet's disease

Figure 1: Genetic association in the HLA region in individuals with Behçet's disease. Figure 2: Meta-analysis results of 24,834 markers genotyped or imputed in the HLA region in both the Turkish and ...